Lorik Gara

Papers

Total Citations

H-Index

About

Lorik Gara is a researcher focused on robotics, control systems, and sensor-based navigation, with particular expertise in self-balancing mobile robots and embedded systems. His most cited work, "Navigation of Self-Balancing Mobile Robot through Sensors" (2019, 9 citations), presents a comprehensive approach to designing, simulating, constructing, and programming an inverted pendulum robot that achieves autonomous balance and obstacle avoidance using only an MPU6050 sensor and ultrasonic sensors. This contribution demonstrates a practical, low-cost solution for stable robot navigation in constrained environments. Gara’s research emphasizes the integration of sensor fusion and real-time control to enhance robotic autonomy, making his work relevant for students and engineers developing mobile platforms for education, research, or industrial applications. While his citation count is modest, his hands-on, systems-level approach to robotics—combining mechanical design, sensor integration, and programming—offers valuable insights for those entering the field. His work underscores the importance of efficient sensor utilization in creating responsive, self-stabilizing robots, a foundational challenge in modern robotics.